Abstract
Completeness is an important aspect of data quality and to determine data acceptability one needs to measure the completeness of the data set of concerned. One type of data completeness measure is population-based completeness (PBC). Nevertheless, the notion of PBC will be of little use until we can determine the efforts required (in terms of architectural design) to implement PBC. In this paper, we present the types of PBC system reference architecture involving integrated databases and motivate the selection of each.
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Emran, N.A., Embury, S., Missier, P., Ahmad, N. (2013). Reference Architectures to Measure Data Completeness across Integrated Databases. In: Selamat, A., Nguyen, N.T., Haron, H. (eds) Intelligent Information and Database Systems. ACIIDS 2013. Lecture Notes in Computer Science(), vol 7802. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36546-1_23
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DOI: https://doi.org/10.1007/978-3-642-36546-1_23
Publisher Name: Springer, Berlin, Heidelberg
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